In 2023, there were, on average, 2.32 hospital beds per 1,000 population in the United States. Hospital bed density varied widely between the states, with District of Columbia having 4.87 beds per thousand population, while there were just 1.57 hospital beds per thousand population available in Washington.

In 2023, community hospitals in the United States had an average of 2.3 beds per 1,000 population. The share of community hospital beds ranged from 1.6 to 4.9 beds per 1,000 persons across the country. The number of community hospital beds per 1,000 population in the United States decreased slightly from 2000 to 2023.

Hospital Beds in the United States decreased to 2.75 per 1000 people in 2022 from 2.77 per 1000 people in 2021. This dataset includes a chart with historical data for the United States Hospital Beds.

The average number of hospital beds available per 1,000 people in the United States was forecast to continuously decrease between 2024 and 2029 by in total *** beds (**** percent). After the eighth consecutive decreasing year, the number of available beds per 1,000 people is estimated to reach **** beds and therefore a new minimum in 2029. Depicted is the number of hospital beds per capita in the country or region at hand. As defined by World Bank this includes inpatient beds in general, specialized, public and private hospitals as well as rehabilitation centers.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the average number of hospital beds available per 1,000 people in countries like Canada and Mexico.

The average for 2020 based on 36 countries was 4.44 hospital beds. The highest value was in South Korea: 12.65 hospital beds and the lowest value was in Mexico: 0.99 hospital beds. The indicator is available from 1960 to 2021. Below is a chart for all countries where data are available.

The average for 2020 based on 2 countries was 1.77 hospital beds. The highest value was in Canada: 2.55 hospital beds and the lowest value was in Mexico: 0.99 hospital beds. The indicator is available from 1960 to 2021. Below is a chart for all countries where data are available.

Hospital bed density varies significantly across countries, with South Korea and Japan leading the pack at over ** beds per 1,000 population in 2022. This stark contrast becomes apparent when compared to countries like the United States, which reported just **** beds per 1,000 people. These figures highlight the disparities in healthcare infrastructure and capacity among nations, potentially impacting their ability to respond to health crises and provide adequate care. Global trends in hospital bed density While some countries maintain high bed densities, others have experienced declines over time. Canada, for instance, saw its hospital bed rate decrease from **** per 1,000 inhabitants in 1980 to **** in 2022, mirroring trends seen in other developed nations. Similarly, Russia's hospital bed density fell from ** beds per 10,000 inhabitants in 2012 to ** beds per 10,000 in 2023. These reductions may reflect changes in healthcare delivery models and efficiency improvements. Regional variations and healthcare implications Despite having one of the highest bed densities globally, Japan has seen a slight decrease in recent years, from ***** beds per 100,000 inhabitants in 2014 to ******* in 2023. However, Japan still maintains a high capacity, which supports its notably long average hospital stay of **** days in 2022. In contrast, Brazil reported just under *** beds per 1,000 inhabitants in 2022, highlighting the significant disparities that exist between countries and regions in terms of healthcare infrastructure and potential impacts on patient care.

The USA: Hospital beds per 1,000 people: The latest value from 2019 is 2.8 hospital beds, a decline from 2.83 hospital beds in 2018. In comparison, the world average is 4.53 hospital beds, based on data from 39 countries. Historically, the average for the USA from 1960 to 2019 is 4.73 hospital beds. The minimum value, 2.77 hospital beds, was reached in 2016 while the maximum of 9.18 hospital beds was recorded in 1960.

This scatter chart displays hospital beds (per 1,000 people) against health expenditure per capita (current US$) in Europe. The data is about countries.

The average for 2020 based on 4 countries was 1.79 hospital beds. The highest value was in Brazil: 2.45 hospital beds and the lowest value was in Mexico: 0.99 hospital beds. The indicator is available from 1960 to 2021. Below is a chart for all countries where data are available.

Between 1970 and 1988, the number of hospital beds in the Soviet Union grew from 11 to 13 beds per 1,000 population, whereas it shrunk from 7.9 to five in the U.S.. This meant that the U.S. had roughly 70 percent the number of hospital beds per capita as the USSR in 1970, but less than 40 percent in 1988. Similarly, the average length of hospital stays in the U.S. was just over half of those in the USSR, although both of these rates declined steadily in these decades.

This scatter chart displays health expenditure per capita (current US$) against hospital beds (per 1,000 people) in Central America. The data is filtered where the date is 2021. The data is about countries per year.

In 2023, there were, on average, 561 hospital inpatient days per 1,000 population in the United States. The number of hospital inpatient days per capita varied widely between the states. Inhabitants in the District of Columbia had the highest rates at 1.3 hospital inpatient days per person, while there were just 0.3 inpatient days per person in Idaho.

DISCLAIMER

Dataset consists of historical data of pre-pandemic period and doesn’t represent the current reality which may have changed due to the spikes in demand. This dataset has been generated in collaboration of efforts within CoronaWhy community.

Context

Last updated: April 26th 2020 Updates: April 14th 2020 - Added missing population data April 15th 2020 - Added Brazil statewise ICU hospital beds dataset April 21th 2020 - Added Italy, Spain statewise ICU hospital beds dataset, India statewise TOTAL hospital beds dataset April 26th 2020 - Added Sweden ICU(2019) and TOTAL(2018) beds datasets

Purpose of the dataset

I am trying to produce a dataset that will provide a foundation for policymakers to understand the realistic capacity of healthcare providers being able to deal with the spikes in demand for intensive care. As a way to help, I’ve prepared a dataset of beds across countries and states. Work in progress dataset that should and will be updated as more data becomes available and public on weekly basis.

Importance

This dataset is intended to be used as a baseline for understanding the typical bed capacity and coverage globally. This information is critical for understanding the impact of a high utilization event, like COVID-19.

Current challenges

Datasets are scattered across the web and are very hard to normalize, I did my best but help would be much appreciated.

Data sources / Acknowledgments

arcgis (USA) - https://services1.arcgis.com/Hp6G80Pky0om7QvQ/arcgis/rest/services/Hospitals_1/FeatureServer/0 KHN (USA) - https://khn.org/news/as-coronavirus-spreads-widely-millions-of-older-americans-live-in-counties-with-no-icu-beds/ datahub.io (World) - https://datahub.io/world-bank/sh.med.beds.zs eurostat - https://data.europa.eu/euodp/en/data/dataset/vswUL3c6yKoyahrvIRyew OECD - https://data.oecd.org/healtheqt/hospital-beds.htm WDI (World) - https://data.worldbank.org/indicator/SH.MED.BEDS.ZS NHP(India) - http://www.cbhidghs.nic.in/showfile.php?lid=1147 data.gov.sg (Singapore) - https://data.gov.sg/dataset/health-facilities?view_id=91b4feed-dcb9-4720-8cb0-ac2f04b7efd0&resource_id=dee5ccce-4dfb-467f-bcb4-dc025b56b977 dati.salute.gov.it (Italy)- http://www.dati.salute.gov.it/dati/dettaglioDataset.jsp?menu=dati&idPag=96 portal.icuregswe.org (Sweden) - https://portal.icuregswe.org/seiva/en/Rapport publications: Intensive Care Medicine Journal (Europe) - https://link.springer.com/article/10.1007/s00134-012-2627-8 Critical Care Medicine Journal (Asia) - https://www.researchgate.net/figure/Number-of-critical-care-beds-per-100-000-population_fig1_338520008 Medicina Intensiva (Spain) - https://www.medintensiva.org/en-pdf-S2173572713000878 news: https://lanuovaferrara.gelocal.it/italia-mondo/cronaca/2020/03/19/news/dietro-la-corsa-a-nuovi-posti-in-terapia-intensiva-gli-errori-del-passato-1.38611596 kaggle: germany - https://www.kaggle.com/manuelblechschmidt/icu-beds-in-germany brazil (IBGE) - https://www.kaggle.com/thiagobodruk/brazilianstates Manual population data search from wiki

Data columns

country,state,county,lat,lng,type,measure,beds,population,year,source,source_url - country - country of origin, if present - state - more granular location, if present - lat - latitude - lng - longtitude - type - [TOTAL, ICU, ACUTE(some data could include ICU beds too), PSYCHIATRIC, OTHER(merged ‘SPECIAL’, ‘CHRONIC DISEASE’, ‘CHILDREN’, ‘LONG TERM CARE’, ‘REHABILITATION’, ‘WOMEN’, ‘MILITARY’] - measure - type of measure (per 1000 inhabitants) - beds - number of beds per 1000 - population - population of location based on multiple sources and wikipedia - year - source year for beds and population data - source - source of data - source_url - URL of the original source

Files

for each of datasource: hospital_beds_per_source.csv

US only: US arcgis + khn (state/county granularity): hospital_beds_USA.csv

Global (state(region)/county granularity): hospital_beds_global_regional.csv

Global (country granularity): hospital_beds_global_v1.csv

Contributors

Igor Kiulian - extracting/normalizing/formatting/merging data Artur Kiulian - helped with Kaggle setup Augaly S. Kiedi - helped with country population data Kristoffer Jan Zieba - found Swedish data sources

Possible Improvements

Find and megre more detailed (state/county wise) or newer datasource

Graph and download economic data for Medical Products, Appliances and Equipment Expenditures per Capita (MEAPEQPCHCSA) from 2000 to 2021 about appliances, healthcare, medical, health, equipment, expenditures, per capita, and USA.

Long-term quantitative series for 20 Latin American countries, spanning from 1960 to 2020, on the number of hospital beds, physicians, nurses and healthcare expenditure.

Matus-Lopez, M. and Fernández Pérez, P. 2023. "Transformations in Latin American Healthcare: A Retrospective Analysis of Hospital Beds, Medical Doctors, and Nurses from 1960 to 2022". Journal of Evolutionary Studies in Business.

The information was extracted from official reports and cross-country databases. Official reports were available in digital format in the Institutional Repository for Information Sharing (IRIS) of Pan American Health Organization (PAHO). They were summary of four-year reports on Health Conditions in the Americas (PAHO 1962, 1966, 1970, 1974, 1978, 1982, 1986, 1990, 1994, 1998, 2002a), annual reports of Basic Indicators (PAHO 2002b, 2007, 2008, 2010, 2013), Health in South America (PAHO 2012) and Core Indicators (PAHO 2016). Databases were Open Data Portal of the Pan American Health Organization (PLISA) (PAHO 2023), Core Indicator Database provided directly by PAHO (PAHO 2022), Data Portal of National Health Workforce Accounts of the World Health Organization (NHWA) (WHO 2022), and the Global Health Expenditure Database of the World Health Organization (GHED) (WHO 2023).

Serie 1. Hospital Beds per 1,000 inhabitants

Serie 2. Physicians per 10,000 inhabitants

Serie 3. Nurses per 10,000 inhabitants

Serie 4. Government spending on health, per capita. Constant US dollars of 2020

Cite as:

The average number of hospital beds available per 1,000 people in Central America was forecast to continuously decrease between 2024 and 2029 by in total **** beds (-*** percent). The number of available beds per 1,000 people is estimated to amount to **** beds in 2029. Depicted is the number of hospital beds per capita in the country or region at hand. As defined by World Bank this includes inpatient beds in general, specialized, public and private hospitals as well as rehabilitation centers.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

Graph and download economic data for Medical Services Expenditures per Capita by Provider (MESEPRPCHCSA) from 2000 to 2021 about healthcare, medical, health, expenditures, per capita, services, and USA.

Graph and download economic data for Pharmaceutical and Other Medical Products Expenditures per Capita (PHMEPRPCHCSA) from 2000 to 2021 about pharmaceuticals, healthcare, medical, health, expenditures, per capita, and USA.

Graph and download economic data for Medical Services Expenditures per Capita by Disease (MDSBDSPCHCSA) from 2000 to 2021 about disease, healthcare, medical, health, expenditures, per capita, services, and USA.